4.5 Article

Estimating the causal effects of modifiable, non-genetic factors on Huntington disease progression using propensity score weighting

期刊

PARKINSONISM & RELATED DISORDERS
卷 83, 期 -, 页码 56-62

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.parkreldis.2021.01.010

关键词

Non-genetic factors; Observational studies; Propensity scores; Disease progression; Huntington?s disease

资金

  1. Cure Huntington's Disease Initiative Foundation
  2. National Institute on Drug Abuse [R01DA045049]
  3. MRC [MR/M008592/1] Funding Source: UKRI

向作者/读者索取更多资源

This study used propensity score weighting to examine the impact of education, employment status, and substance use on the progression of Huntington's disease. The results indicated that factors such as light and moderate alcohol consumption, employment status, and substance use may influence the rate of progression of HD.
Introduction: Despite being genetically inherited, it is unclear how non-genetic factors (e.g., substance use, employment) might contribute to the progression and severity of Huntington's disease (HD). Methods: We used propensity score (PS) weighting in a large (n = 2914) longitudinal dataset (Enroll-HD) to examine the impact of education, employment status, and use of tobacco, alcohol, and recreational and therapeutic drugs on HD progression. Each factor was investigated in isolation while controlling for 19 other factors to ensure that groups were balanced at baseline on potential confounders using PS weights. Outcomes were compared several years later using doubly robust models. Results: Our results highlighted cases where modifiable (non-genetic) factors -namely light and moderate alcohol use and employment -would have been associated with HD progression in models that did not use PS weights to control for baseline imbalances. These associations did not hold once we applied PS weights to balance baseline groups. We also found potential evidence of a protective effect of substance use (primarily marijuana use), and that those who needed antidepressant treatment were likely to progress faster than non-users. Conclusions: Our study is the first to examine the effect of non-genetic factors on HD using a novel application of PS weighting. We show that previously-reported associated factors-including light and moderate alcohol use-are reduced and no longer significantly linked to HD progression after PS weighting. This indicates the potential value of PS weighting in examining non-genetic factors contributing to HD as well as in addressing the known biases that occur with observational data.

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